PUMA publications for /tag/errorhttps://puma.ub.uni-stuttgart.de/tag/errorPUMA RSS feed for /tag/error2024-03-29T11:47:29+01:00- Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5https://puma.ub.uni-stuttgart.de/bibtex/2ec952595ff449504c1022011ebc3d996/touriantourian2022-11-28T10:28:12+01:00ERA, analysis decomposition, error estimates, evaluation, geoinst imported multi-scale precipitation statistical <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Navid Ghajarnia" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/0"><span itemprop="name">N. Ghajarnia</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mahdi Akbari" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/1"><span itemprop="name">M. Akbari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peyman Saemian" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/2"><span itemprop="name">P. Saemian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad Reza Ehsani" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/3"><span itemprop="name">M. Ehsani</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Seyed-Mohammad Hosseini-Moghari" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/4"><span itemprop="name">S. Hosseini-Moghari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Asghar Azizian" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/5"><span itemprop="name">A. Azizian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Zahra Kalantari" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/6"><span itemprop="name">Z. Kalantari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ali Behrangi" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/7"><span itemprop="name">A. Behrangi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/8"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Björn Klöve" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/9"><span itemprop="name">B. Klöve</span></a></span></span> and 1 other author(s). </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Earth and Space Science</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">9 </span></span>(<span itemprop="issueNumber">10</span>):
<span itemprop="pagination">e2022EA002352</span></em> </span>(<em><span>2022<meta content="2022" itemprop="datePublished"/></span></em>)<em>e2022EA002352 2022EA002352.</em></span>
- Efficient a-posteriori error estimation for nonlinear kernel-based reduced systemshttps://puma.ub.uni-stuttgart.de/bibtex/288e9a857661efa99f399e9d4f24b559e/mathematikmathematik2021-09-29T14:35:08+02:00subspace error dynamical kernel a-posteriori from:britsteiner methods, ians nonlinear systems, offline/online decomposition, projection estimates, model anm reduction, <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Wirtz" itemprop="url" href="/person/1e80ae72fe2c1f9f79f4f7f8f5ce00735/author/0"><span itemprop="name">D. Wirtz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1e80ae72fe2c1f9f79f4f7f8f5ce00735/author/1"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Systems & Control Letters</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">61 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">203--211</span></em> </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>
- Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy systemhttps://puma.ub.uni-stuttgart.de/bibtex/2a83ef7da936322ea35f09a4d03bb61bd/mathematikmathematik2021-09-29T14:35:08+02:00Error decomposition; medium 76D07 from:britsteiner Porous Reduced ians method; basis problem; Stokes 76S05; estimation; equation; Domain Non-coercive flow; anm 65N55; <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="I. Martini" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/0"><span itemprop="name">I. Martini</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Rozza" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/1"><span itemprop="name">G. Rozza</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/2"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Advances in Computational Mathematics</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">41 </span></span>(<span itemprop="issueNumber">5</span>):
<span itemprop="pagination">1131--1157</span></em> </span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>
- A-posteriori error estimation for parameterized kernel-based systemshttps://puma.ub.uni-stuttgart.de/bibtex/2c9ff784e6a0440b80b45055fa2c9df7e/britsteinerbritsteiner2021-09-29T14:33:27+02:00a-posteriori anm decomposition, dynamical error estimates, ians kernel methods, model nonlinear offline/online parameterized projection reduction, subspace systems, <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Wirtz" itemprop="url" href="/person/1e6dce191069323c30bda8a87cce2913a/author/0"><span itemprop="name">D. Wirtz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1e6dce191069323c30bda8a87cce2913a/author/1"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling</span>, </em></span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>
- Efficient a-posteriori error estimation for nonlinear kernel-based reduced systemshttps://puma.ub.uni-stuttgart.de/bibtex/288e9a857661efa99f399e9d4f24b559e/britsteinerbritsteiner2021-09-29T14:33:27+02:00a-posteriori anm decomposition, dynamical error estimates, ians kernel methods, model nonlinear offline/online projection reduction, subspace systems, <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Wirtz" itemprop="url" href="/person/1e80ae72fe2c1f9f79f4f7f8f5ce00735/author/0"><span itemprop="name">D. Wirtz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1e80ae72fe2c1f9f79f4f7f8f5ce00735/author/1"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Systems & Control Letters</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">61 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">203--211</span></em> </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>
- Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy systemhttps://puma.ub.uni-stuttgart.de/bibtex/2a83ef7da936322ea35f09a4d03bb61bd/britsteinerbritsteiner2021-09-29T14:33:27+02:0065N55; 76D07 76S05; Domain Error Non-coercive Porous Reduced Stokes anm basis decomposition; equation; estimation; flow; ians medium method; problem; <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="I. Martini" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/0"><span itemprop="name">I. Martini</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Rozza" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/1"><span itemprop="name">G. Rozza</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/2"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Advances in Computational Mathematics</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">41 </span></span>(<span itemprop="issueNumber">5</span>):
<span itemprop="pagination">1131--1157</span></em> </span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>
- Performance Estimation for Broadband Multi-Gigabit Millimeter and Sub-Millimeter Wave Wireless Communication Linkshttps://puma.ub.uni-stuttgart.de/bibtex/2072da899c758affe0d062ab23098b302/ingmarkallfassingmarkallfass2020-09-07T14:26:58+02:00(BER);complex (EVM);millimeter-wave (MMICs);performance (SER);wireless (mmw) amplitude bandwidths;in-phase broadband channels;E-band characteristics;performance circuits communication communication;Bit communication;mmw error error;submillimeter-wave estimation;performance estimation;symbol factor;local frequency frontend frontend;broadband imbalance;in-phase imbalance;limiting imbalance;quadrature imperfection;performance integrated keying keying;radio limiting limits;quadrature links;broadband links;channel magnitude millimeter-wave modulated modulation modulation;error monolithic multigigabit networks;error networks;submillimetre noise;Wireless noise;extremely noise;nonideal noise;quadrature oscillator phase phase-shift range;symbol rate rate;Estimation;Modulation;Phase rates;wireless shift signals;relative statistics;millimetre submillimeter-wave systems;Bandwidth;Bit vector waves;phase waves;wireless wireless <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J. Antes" itemprop="url" href="/person/1a25ee8cd0c744aec557a35e0f991f07e/author/0"><span itemprop="name">J. Antes</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="I. Kallfass" itemprop="url" href="/person/1a25ee8cd0c744aec557a35e0f991f07e/author/1"><span itemprop="name">I. Kallfass</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IEEE Trans. on Microwave Theory and Techniques</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">63 </span></span>(<span itemprop="issueNumber">10</span>):
<span itemprop="pagination">3288--3299</span></em> </span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>
- Deep Learning Based Communication Over the Airhttps://puma.ub.uni-stuttgart.de/bibtex/2f698e236a380faddfb8f96d98b28f5bc/inueinue2020-03-20T15:07:06+01:00myown network;over-the-air;software-defined software-defined from:sdnr transmissions;open-source (artificial systems;block-based module;transmitter transmission;receiver implementations;deep computing;two-step nets;radio intelligence);neural libraries;continuous learning;communications learning;end-to-end rate;over-the-air synchronization;frame error transmissions;receiver deep neural software synchronization data learning;modulation;neural learning libraries;software radio implementations;off-the-shelf networks;NNs;block procedure;end-to-end radio;synchronisation;telecommunication radios;Training;Receivers;Communication networks;Hardware;Transmitters;Synchronization;Autoencoder;communication;deep receivers;software systems;Artificial <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Dörner" itemprop="url" href="/person/1a0e38e6df23c2f25303e9abd1d9fd60d/author/0"><span itemprop="name">S. Dörner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Cammerer" itemprop="url" href="/person/1a0e38e6df23c2f25303e9abd1d9fd60d/author/1"><span itemprop="name">S. Cammerer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J. Hoydis" itemprop="url" href="/person/1a0e38e6df23c2f25303e9abd1d9fd60d/author/2"><span itemprop="name">J. Hoydis</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. ten Brink" itemprop="url" href="/person/1a0e38e6df23c2f25303e9abd1d9fd60d/author/3"><span itemprop="name">S. ten Brink</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IEEE Journal of Selected Topics in Signal Processing</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">12 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">132-143</span></em> </span>(<em><span>February 2018<meta content="February 2018" itemprop="datePublished"/></span></em>)</span>
- Evaluation of a Three-Phase Distribution System State Estimation for Operational Use in a Real Medium Voltage Gridhttps://puma.ub.uni-stuttgart.de/bibtex/2ee7ff3227f584612ccaf760df2e7d567/annettegugelannettegugel2019-11-12T15:59:44+01:00data distribution error estimation measurement measurements medium meter placement pseudo real state system three-phase voltage <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Groß" itemprop="url" href="/person/1458fd6ed132c0be9d143af324cb67abe/author/0"><span itemprop="name">D. Groß</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Heiner Früh" itemprop="url" href="/person/1458fd6ed132c0be9d143af324cb67abe/author/1"><span itemprop="name">H. Früh</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Contreras" itemprop="url" href="/person/1458fd6ed132c0be9d143af324cb67abe/author/2"><span itemprop="name">D. Contreras</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Krzysztof Rudion" itemprop="url" href="/person/1458fd6ed132c0be9d143af324cb67abe/author/3"><span itemprop="name">K. Rudion</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Linda Rupp" itemprop="url" href="/person/1458fd6ed132c0be9d143af324cb67abe/author/4"><span itemprop="name">L. Rupp</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Lakenbrink" itemprop="url" href="/person/1458fd6ed132c0be9d143af324cb67abe/author/5"><span itemprop="name">C. Lakenbrink</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)</span>
- Efficient a-posteriori error estimation for nonlinear kernel-based
reduced systemshttps://puma.ub.uni-stuttgart.de/bibtex/2699c9caf6155e0598d9c980105b8118d/mathematikmathematik2018-07-20T10:55:02+02:00a-posteriori decomposition, dynamical error estimates, from:mhartmann ians kernel methods, model nonlinear offline/online projection reduction, subspace systems, vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="D. Wirtz" itemprop="url" href="/person/1e80ae72fe2c1f9f79f4f7f8f5ce00735/author/0"><span itemprop="name">D. Wirtz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="B. Haasdonk" itemprop="url" href="/person/1e80ae72fe2c1f9f79f4f7f8f5ce00735/author/1"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Systems and Control Letters</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">61 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">203 - 211</span></em> </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>
- A posteriori error estimates with point sources in fractional sobolev
spaceshttps://puma.ub.uni-stuttgart.de/bibtex/2a795baaf1eb095e7f7ab84a05f884ad8/mathematikmathematik2018-07-20T10:55:02+02:00Dirac Sobolev a adaptivity, element error estimators, finite fractional from:mhartmann ians mass, methods, posteriori spaces vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. D. Gaspoz" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. Morin" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/1"><span itemprop="name">P. Morin</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Veeser" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/2"><span itemprop="name">A. Veeser</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Numerical Methods for Partial Differential Equations</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">33 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">1018--1042</span></em> </span>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>
- A convergent time-space adaptive $dG(s)$ finite element method for
parabolic problems motivated by equal error distributionhttps://puma.ub.uni-stuttgart.de/bibtex/24276d5a0313937597a16f8ab9f50ce70/mathematikmathematik2018-07-20T10:54:52+02:00a adaptivity, convergence, element equation error estimators, finite from:mhartmann heat ians methods, posteriori vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. D. Gaspoz" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Kreuzer" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/1"><span itemprop="name">C. Kreuzer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="K. Siebert" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/2"><span itemprop="name">K. Siebert</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="D. Ziegler" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/3"><span itemprop="name">D. Ziegler</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>
- Reduced basis approximation and a-posteriori error estimation for
the coupled Stokes-Darcy systemhttps://puma.ub.uni-stuttgart.de/bibtex/2cc6b799a8d34f87ec3cd593a8053b3ae/mathematikmathematik2018-07-20T10:54:42+02:0065N55; 76D07 76S05; Domain Error Non-coercive Porous Reduced Stokes basis decomposition; equation; estimation; flow; from:mhartmann ians medium method; problem; vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="I. Martini" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/0"><span itemprop="name">I. Martini</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Rozza" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/1"><span itemprop="name">G. Rozza</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="B. Haasdonk" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/2"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Advances in Computational Mathematics</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">41 </span></span>(<span itemprop="issueNumber">5</span>):
<span itemprop="pagination">1131--1157</span></em> </span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>
- Design and Convergence of AFEM in $H(div)$https://puma.ub.uni-stuttgart.de/bibtex/2f5f80e984a2acb11eefec6e697309130/mathematikmathematik2018-07-20T10:54:39+02:00A convergence; error estimate; from:mhartmann ians multigrid oscillation; posteriori preconditioning reduction; vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J. Manuel Cascón" itemprop="url" href="/person/10455c6fff7212a7c27b39d27400fc025/author/0"><span itemprop="name">J. Cascón</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ricardo H. Nochetto" itemprop="url" href="/person/10455c6fff7212a7c27b39d27400fc025/author/1"><span itemprop="name">R. Nochetto</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Kunibert G. Siebert" itemprop="url" href="/person/10455c6fff7212a7c27b39d27400fc025/author/2"><span itemprop="name">K. Siebert</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Mathematical Models & Methods in Applied Sciences</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">17 </span></span>(<span itemprop="issueNumber">11</span>):
<span itemprop="pagination">1849--1881</span></em> </span>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)</span>
- A-posteriori error estimation for parameterized kernel-based systemshttps://puma.ub.uni-stuttgart.de/bibtex/2c9ff784e6a0440b80b45055fa2c9df7e/mathematikmathematik2018-07-20T10:54:37+02:00a-posteriori decomposition, dynamical error estimates, from:mhartmann ians kernel methods, model nonlinear offline/online parameterized projection reduction, subspace systems, vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Wirtz" itemprop="url" href="/person/1e6dce191069323c30bda8a87cce2913a/author/0"><span itemprop="name">D. Wirtz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1e6dce191069323c30bda8a87cce2913a/author/1"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical
Modelling</span>, </em></span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>
- Convergence rates for adaptive finite elementshttps://puma.ub.uni-stuttgart.de/bibtex/2992b581f1e96812159406b320cdc362c/mathematikmathematik2018-07-20T10:54:31+02:00a adaptive elliptic equations error estimator, from:mhartmann ians mesh posteriori refinement, vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Fernando D. Gaspoz" itemprop="url" href="/person/11e7a0334d6389891fae356da35076ece/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pedro Morin" itemprop="url" href="/person/11e7a0334d6389891fae356da35076ece/author/1"><span itemprop="name">P. Morin</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IMA J. Numer. Anal.</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">29 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">917--936</span></em> </span>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)</span>
- A posteriori error estimates with point sources in fractional sobolev
spaceshttps://puma.ub.uni-stuttgart.de/bibtex/2a795baaf1eb095e7f7ab84a05f884ad8/mhartmannmhartmann2018-07-20T10:54:15+02:00Dirac Sobolev a adaptivity, element error estimators, finite fractional mass, methods, posteriori spaces vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. D. Gaspoz" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. Morin" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/1"><span itemprop="name">P. Morin</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Veeser" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/2"><span itemprop="name">A. Veeser</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Numerical Methods for Partial Differential Equations</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">33 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">1018--1042</span></em> </span>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>
- Efficient a-posteriori error estimation for nonlinear kernel-based
reduced systemshttps://puma.ub.uni-stuttgart.de/bibtex/2699c9caf6155e0598d9c980105b8118d/mhartmannmhartmann2018-07-20T10:54:15+02:00a-posteriori decomposition, dynamical error estimates, kernel methods, model nonlinear offline/online projection reduction, subspace systems, vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="D. Wirtz" itemprop="url" href="/person/1e80ae72fe2c1f9f79f4f7f8f5ce00735/author/0"><span itemprop="name">D. Wirtz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="B. Haasdonk" itemprop="url" href="/person/1e80ae72fe2c1f9f79f4f7f8f5ce00735/author/1"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Systems and Control Letters</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">61 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">203 - 211</span></em> </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>
- A convergent time-space adaptive $dG(s)$ finite element method for
parabolic problems motivated by equal error distributionhttps://puma.ub.uni-stuttgart.de/bibtex/24276d5a0313937597a16f8ab9f50ce70/mhartmannmhartmann2018-07-20T10:54:15+02:00a adaptivity, convergence, element equation error estimators, finite heat methods, posteriori vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. D. Gaspoz" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Kreuzer" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/1"><span itemprop="name">C. Kreuzer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="K. Siebert" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/2"><span itemprop="name">K. Siebert</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="D. Ziegler" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/3"><span itemprop="name">D. Ziegler</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>
- Reduced basis approximation and a-posteriori error estimation for
the coupled Stokes-Darcy systemhttps://puma.ub.uni-stuttgart.de/bibtex/2cc6b799a8d34f87ec3cd593a8053b3ae/mhartmannmhartmann2018-07-20T10:54:15+02:0065N55; 76D07 76S05; Domain Error Non-coercive Porous Reduced Stokes basis decomposition; equation; estimation; flow; medium method; problem; vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="I. Martini" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/0"><span itemprop="name">I. Martini</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Rozza" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/1"><span itemprop="name">G. Rozza</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="B. Haasdonk" itemprop="url" href="/person/11474e2e0db6128c1ec02771a5ff8841b/author/2"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Advances in Computational Mathematics</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">41 </span></span>(<span itemprop="issueNumber">5</span>):
<span itemprop="pagination">1131--1157</span></em> </span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>
- Design and Convergence of AFEM in $H(div)$https://puma.ub.uni-stuttgart.de/bibtex/2f5f80e984a2acb11eefec6e697309130/mhartmannmhartmann2018-07-20T10:54:15+02:00A convergence; error estimate; multigrid oscillation; posteriori preconditioning reduction; vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J. Manuel Cascón" itemprop="url" href="/person/10455c6fff7212a7c27b39d27400fc025/author/0"><span itemprop="name">J. Cascón</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ricardo H. Nochetto" itemprop="url" href="/person/10455c6fff7212a7c27b39d27400fc025/author/1"><span itemprop="name">R. Nochetto</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Kunibert G. Siebert" itemprop="url" href="/person/10455c6fff7212a7c27b39d27400fc025/author/2"><span itemprop="name">K. Siebert</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Mathematical Models & Methods in Applied Sciences</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">17 </span></span>(<span itemprop="issueNumber">11</span>):
<span itemprop="pagination">1849--1881</span></em> </span>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)</span>
- A-posteriori error estimation for parameterized kernel-based systemshttps://puma.ub.uni-stuttgart.de/bibtex/2c9ff784e6a0440b80b45055fa2c9df7e/mhartmannmhartmann2018-07-20T10:54:15+02:00a-posteriori decomposition, dynamical error estimates, kernel methods, model nonlinear offline/online parameterized projection reduction, subspace systems, vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Wirtz" itemprop="url" href="/person/1e6dce191069323c30bda8a87cce2913a/author/0"><span itemprop="name">D. Wirtz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1e6dce191069323c30bda8a87cce2913a/author/1"><span itemprop="name">B. Haasdonk</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical
Modelling</span>, </em></span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>
- Convergence rates for adaptive finite elementshttps://puma.ub.uni-stuttgart.de/bibtex/2992b581f1e96812159406b320cdc362c/mhartmannmhartmann2018-07-20T10:54:15+02:00a adaptive elliptic equations error estimator, mesh posteriori refinement, vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Fernando D. Gaspoz" itemprop="url" href="/person/11e7a0334d6389891fae356da35076ece/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pedro Morin" itemprop="url" href="/person/11e7a0334d6389891fae356da35076ece/author/1"><span itemprop="name">P. Morin</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IMA J. Numer. Anal.</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">29 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">917--936</span></em> </span>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)</span>
- Algorithm-based fault tolerance for matrix operations on graphics processing units: analysis and extension to autonomous operation.https://puma.ub.uni-stuttgart.de/bibtex/278feed56c1636b8fcbfd657450c145bd/clausbraunclausbraun2018-03-19T16:42:05+01:00ABFT GPGPU GPU SimTech algebra algorithm-based error error-detection fault fault-tolerance linear matrix-operations myown simulation <meta content="thesis" itemprop="educationalUse"/><span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Claus Braun" itemprop="url" href="/person/1f4aa6bff08e99d1685a2218270cadc80/author/0"><span itemprop="name">C. Braun</span></a></span></span>. </span><span class="additional-entrytype-information"><em>University of Stuttgart, </em>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>
- A-ABFT: Autonomous Algorithm-Based Fault Tolerance for Matrix Multiplications on Graphics Processing Unitshttps://puma.ub.uni-stuttgart.de/bibtex/2a6dcd392b900956871dd3cfde89cd481/clausbraunclausbraun2018-03-19T16:15:07+01:00ABFT GPGPU GPU SimTech adaptivity algebra algorithm-based autonompous error error-correction error-detection fault-tolerance linear matrix matrix-multiplication metric myown rounding rounding-error <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Claus Braun" itemprop="url" href="/person/1f672f35af5f6b825bda005ca703be294/author/0"><span itemprop="name">C. Braun</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sebastian Halder" itemprop="url" href="/person/1f672f35af5f6b825bda005ca703be294/author/1"><span itemprop="name">S. Halder</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hans-Joachim Wunderlich" itemprop="url" href="/person/1f672f35af5f6b825bda005ca703be294/author/2"><span itemprop="name">H. Wunderlich</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'14)</span>, </em></span><em>page <span itemprop="pagination">443--454</span>. </em>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>
- Low-Overhead Fault-Tolerance for the Preconditioned Conjugate Gradient Solverhttps://puma.ub.uni-stuttgart.de/bibtex/28c90a682adda1e125eb007f0c70bd70a/clausbraunclausbraun2018-03-19T16:15:07+01:00ABFT CG PCG SimTech conjugate error error-correction error-detection fault fault-tolerance gradient linear myown preconditioned solver sparse system <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Schöll" itemprop="url" href="/person/1d133c0d9eda7017c266a9d01721a9c91/author/0"><span itemprop="name">A. Schöll</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Claus Braun" itemprop="url" href="/person/1d133c0d9eda7017c266a9d01721a9c91/author/1"><span itemprop="name">C. Braun</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael A. Kochte" itemprop="url" href="/person/1d133c0d9eda7017c266a9d01721a9c91/author/2"><span itemprop="name">M. Kochte</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hans-Joachim Wunderlich" itemprop="url" href="/person/1d133c0d9eda7017c266a9d01721a9c91/author/3"><span itemprop="name">H. Wunderlich</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT'15)</span>, </em></span><em>page <span itemprop="pagination">60-65</span>. </em>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>
- An error model for protein quantificationhttps://puma.ub.uni-stuttgart.de/bibtex/22b7fc1610ba11cb09eeb84d288037123/robingarciarobingarcia2017-08-15T19:06:19+02:00error model protein <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Kreutz" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/0"><span itemprop="name">C. Kreutz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M.M. Bartolome Rodriguez" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/1"><span itemprop="name">M. Rodriguez</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="T. Maiwald" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/2"><span itemprop="name">T. Maiwald</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. Seidl" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/3"><span itemprop="name">M. Seidl</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="H.E. Blum" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/4"><span itemprop="name">H. Blum</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="L. Mohr" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/5"><span itemprop="name">L. Mohr</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J. Timmer" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/6"><span itemprop="name">J. Timmer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Bioinformatics</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">23 </span></span>(<span itemprop="issueNumber">20</span>):
<span itemprop="pagination">2747--2753</span></em> </span>(<em><span>September 2007<meta content="September 2007" itemprop="datePublished"/></span></em>)</span>
- An error model for protein quantificationhttps://puma.ub.uni-stuttgart.de/bibtex/2d2cfd196c7fdd76568ecf10c6f447e0b/robingarciarobingarcia2017-04-19T10:37:01+02:00error model <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Kreutz" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/0"><span itemprop="name">C. Kreutz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M.M. B. Rodriguez" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/1"><span itemprop="name">M. Rodriguez</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="T. Maiwald" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/2"><span itemprop="name">T. Maiwald</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. Seidl" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/3"><span itemprop="name">M. Seidl</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="H.E. Blum" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/4"><span itemprop="name">H. Blum</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="L. Mohr" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/5"><span itemprop="name">L. Mohr</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J. Timmer" itemprop="url" href="/person/165617171eede83424e5b3c82845cd36b/author/6"><span itemprop="name">J. Timmer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Bioinformatics</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">23 </span></span>(<span itemprop="issueNumber">20</span>):
<span itemprop="pagination">2747-2753</span></em> </span>(<em><span>September 2007<meta content="September 2007" itemprop="datePublished"/></span></em>)</span>
- Effective Visual Masking Techniques in JPEG2000https://puma.ub.uni-stuttgart.de/bibtex/27f8c25813075df51243507b638c1fc89/thomasrichterthomasrichter2016-03-10T09:18:49+01:00Gaussian;JPEG2000;Visual Masking allocation;visual coding;Mean coding;Visual coding;mean compression;Distortion compression;image compression;mean data error error;rate evaluation;Signal masking;Data measurement;Humans;Image measurement;Transform methods;JPEG2000;image methods;Performance resolution;Size square system;Generalized <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="T. Richter" itemprop="url" href="/person/1c6b4d7259fb109715502cb1b7974b2fe/author/0"><span itemprop="name">T. Richter</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Data Compression Conference, 2008. DCC 2008</span>, </em></span><em>page <span itemprop="pagination">540-540</span>. </em>(<em><span>March 2008<meta content="March 2008" itemprop="datePublished"/></span></em>)</span>
- Effective Visual Masking Techniques in JPEG2000https://puma.ub.uni-stuttgart.de/bibtex/272ef1f05d3b9b7e3ad85ee82e2e25da2/thomasrichterthomasrichter2016-03-10T09:18:49+01:00Gaussian;JPEG2000;Visual Masking SSIM algorithm;multi-scale algorithm;statistical algorithm;wavelet allocation coding;Image coding;Visual coding;wavelet complexity compression compression;image data data;weighting error image index;rate masking masks;Codecs;Frequency;Humans;Image methods;Rate-distortion;Transform model;visual quality;Image quality;visual reconstruction;Mean square standard;low system;Generalized transforms;JPEG2000 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Richter" itemprop="url" href="/person/1c6b4d7259fb109715502cb1b7974b2fe/author/0"><span itemprop="name">T. Richter</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on</span>, </em></span><em>page <span itemprop="pagination">2876-2879</span>. </em><em>San Diego, CA, </em>(<em><span>October 2008<meta content="October 2008" itemprop="datePublished"/></span></em>)</span>
- Effective Visual Masking Techniques in JPEG2000https://puma.ub.uni-stuttgart.de/bibtex/27f8c25813075df51243507b638c1fc89/rainerreichelrainerreichel2016-03-03T17:45:04+01:00Gaussian;JPEG2000;Visual Masking allocation;visual coding;Mean coding;Visual coding;mean compression;Distortion compression;image compression;mean data error error;rate evaluation;Signal masking;Data measurement;Humans;Image measurement;Transform methods;JPEG2000;image methods;Performance resolution;Size square system;Generalized <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="T. Richter" itemprop="url" href="/person/1c6b4d7259fb109715502cb1b7974b2fe/author/0"><span itemprop="name">T. Richter</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Data Compression Conference, 2008. DCC 2008</span>, </em></span><em>page <span itemprop="pagination">540-540</span>. </em>(<em><span>March 2008<meta content="March 2008" itemprop="datePublished"/></span></em>)</span>
- Effective Visual Masking Techniques in JPEG2000https://puma.ub.uni-stuttgart.de/bibtex/272ef1f05d3b9b7e3ad85ee82e2e25da2/rainerreichelrainerreichel2016-03-03T17:45:04+01:00Gaussian;JPEG2000;Visual Masking SSIM algorithm;multi-scale algorithm;statistical algorithm;wavelet allocation coding;Image coding;Visual coding;wavelet complexity compression compression;image data data;weighting error image index;rate masking masks;Codecs;Frequency;Humans;Image methods;Rate-distortion;Transform model;visual quality;Image quality;visual reconstruction;Mean square standard;low system;Generalized transforms;JPEG2000 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Richter" itemprop="url" href="/person/1c6b4d7259fb109715502cb1b7974b2fe/author/0"><span itemprop="name">T. Richter</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on</span>, </em></span><em>page <span itemprop="pagination">2876-2879</span>. </em><em>San Diego, CA, </em>(<em><span>October 2008<meta content="October 2008" itemprop="datePublished"/></span></em>)</span>